JOURNAL ARTICLE

Bearing estimation using a single moving acoustic vector sensor

Edmund J. Sullivan

Year: 2016 Journal:   The Journal of the Acoustical Society of America Vol: 139 (4_Supplement)Pages: 2224-2224   Publisher: Acoustical Society of America

Abstract

It is well known that a single moving pressure sensor can be used to estimate the bearing to a pure tone source if the source frequency is known a priori. It can also be shown, from the analysis of the relevant Grammian, that even if the source frequency and bearing are jointly estimated, say with a Kalman filter, it cannot be done, i.e., at least two sensors are necessary. However, if a PV sensor is used, additional measurements are provided, thereby allowing the estimation to be done. Although additional measurements are provided, there is still only a single physical sensor. Thus, even for small moving undersea vehicle, with its small amount of real estate, bearing measurements can be made. An example using simulated data is given.

Keywords:
Bearing (navigation) Acoustics Computer science A priori and a posteriori Kalman filter Acoustic sensor Physics Artificial intelligence

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Topics

Underwater Acoustics Research
Physical Sciences →  Earth and Planetary Sciences →  Oceanography
Structural Health Monitoring Techniques
Physical Sciences →  Engineering →  Civil and Structural Engineering
Structural Integrity and Reliability Analysis
Physical Sciences →  Engineering →  Mechanical Engineering

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